# Siyuan Wang

> Staff ML Engineer at Youtube | Generative AI

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/siyuanwang

## Work Experience
### Staff Software Engineer @ YouTube
Jan 2022 – Present
Generative AI capabilities for Shorts creation
Veo, Imagen, Gemini models
Video generation post-training

### Senior Software Engineer @ Google
Jan 2022 – Jan 2022
Google Discover: Content recommendation, personalized image recommendation, content understanding.

### Software Engineer @ Google
Jan 2019 – Jan 2022 | Mountain View, California, United States
Content understanding, ranking, recommendation

### Software Engineer Internship @ Google
Jan 2018 – Jan 2018 | Mountain View
Google Search
Built a multi-modal NN video page classifier.

### Undergraduate Researcher at statNLP, the NLP and Big Data Research Group at SUTD @ Singapore University of Technology and Design (SUTD)
Jan 2016 – Jan 2017
• Replicated state-of-the-art techniques for the Semantic Textual Similarity (STS) task in SemEval-2016, which involve feature selection and Tree-LSTM implementation to generate similarity score.
• Conducted experiments to compare performance between BIO and BILOU encoding schemes for Name Entity Recognition.
• Designed and implemented models for bilingual word representations based on word2vec and achieved state-of-the-art performance.
• Implemented Word2Vec model using Java

### Software Engineer Intern @ IBM
Jan 2015 – Jan 2015
• Developed an evaluation tool for incident prediction software using Java to query from database, calculate evaluation KPIs, plot charts and generate PDF reports, which was integrated into deployed software to automate the calibration process to
reach evaluation KPIs.
• Conducted traffic data query using SQL and performed data processing and visualization for research on traffic control
optimization using Python.
• Learned QGIS within a week and accomplished several open-ended research tasks, delivering useful results presented in
department meeting.
• Devised and implemented data driven methods for inferring traffic incident information from large datasets.


## Education
### Master of Computational Data Science (Analytics major) in Computer Science
Carnegie Mellon University

### Bachelor of Engineering (B.E.) in Computer Science, Tracks: Artificial Intelligence and Business Analytics
Singapore University of Technology and Design (SUTD)

### Winter Exchange in CS
Massachusetts Institute of Technology

### Hengshui High School

### 2+3 Accelerated Program
The Middle School Attached to Hebei Normal University


## Contact & Social
- LinkedIn: https://linkedin.com/in/wang-si-yuan

---
Source: https://flows.cv/siyuanwang
JSON Resume: https://flows.cv/siyuanwang/resume.json
Last updated: 2026-04-12